Introduction to data modeling
Scientific data is often scattered among heterogeneous data repositories. Exploring data across multiple data repositories requires the ability to understand and correlate their structures (schemas). Such correlations need to address the diversity of views of the scientific domain represented by dif...
| Main Authors: | , |
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| Format: | Book Chapter |
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Artech House
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/8217 |
| Summary: | Scientific data is often scattered among heterogeneous data repositories. Exploring data across multiple data repositories requires the ability to understand and correlate their structures (schemas). Such correlations need to address the diversity of views of the scientific domain represented by different data repositories as well as the diversity of data modeling languages used for expressing these views. In this chapter, we introduce the concepts of data modeling and discuss its application to biological databases. |
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